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Skills
- Application Programming Interface (API)unmatched
- Best Practicesunmatched
- Business Operationsunmatched
- Business Supportunmatched
- Cloud Computingunmatched
- Data Managementunmatched
- Data Modelingunmatched
- Data Modeling Toolsunmatched
- Data Warehousingunmatched
- Database Extract Transform and Load (ETL)unmatched
- Needs Assessmentunmatched
- Object Oriented Programming (OOP) Languagesunmatched
- Onboardingunmatched
- Operational Auditunmatched
- Programming Languagesunmatched
- SQL (Structured Query Language)unmatched
- Software Engineeringunmatched
- Team Playerunmatched
Description
Software Engineer, Data - New York, NY (Hybrid) - Full Time - $90,000 - $115,000 Per Year
Title: Software Engineer, Data
Location: New York, NY (Hybrid)
Employment Type: Full Time
Compensation:
Pay Range: $90,000 - $115,000 Per Year
Job Summary:
• This full-time position is based in New York, NY, and requires a hybrid work setup.
• The role involves maintaining and evolving data systems and platforms to support business-critical operations and analytics.
• The successful candidate will work with a small team to integrate data across various departments, enhancing data processes and infrastructure for future initiatives.
• Key technologies include a general programming language, data orchestration, and data modeling tools.
Key Responsibilities:
• Design, build, and maintain data assets for ingestion, transformation, and loading.
• Develop and maintain models to support data transformations within the warehouse.
• Build and maintain integrations with third-party APIs to construct reliable data pipelines.
• Implement best practices for extraction, transformation, loading, and storage processes.
• Partner with stakeholders to understand data needs and translate them into actionable insights.
Qualifications:
• Intermediate to advanced skills in a general programming language, including object-oriented programming.
• Experience working with third-party APIs to build data pipelines.
• Intermediate to advanced SQL skills, including complex queries.
• Experience with data orchestration tools.
• Working knowledge of cloud data warehouses and basic cloud service knowledge.
Core Technologies:
• Python | SQL | dbt | Dagster | Snowflake | AWS | GitHub
Contact Authorization:
By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here https://www.mitchellmartin.com/privacy-policy
Benefits:
Learn more about our benefits offerings here https://www.mitchellmartin.com/careers/benefits-perks
Onboarding Expectations:
Learn more about our Onboarding Process here https://youtu.be/rjV_NFYjyY4
EEO Statement:
Learn more about our EEO policy here https://www.mitchellmartin.com/eoe-statement
#LI-AG3
Title: Software Engineer, Data
Location: New York, NY (Hybrid)
Employment Type: Full Time
Compensation:
Pay Range: $90,000 - $115,000 Per Year
Job Summary:
• This full-time position is based in New York, NY, and requires a hybrid work setup.
• The role involves maintaining and evolving data systems and platforms to support business-critical operations and analytics.
• The successful candidate will work with a small team to integrate data across various departments, enhancing data processes and infrastructure for future initiatives.
• Key technologies include a general programming language, data orchestration, and data modeling tools.
Key Responsibilities:
• Design, build, and maintain data assets for ingestion, transformation, and loading.
• Develop and maintain models to support data transformations within the warehouse.
• Build and maintain integrations with third-party APIs to construct reliable data pipelines.
• Implement best practices for extraction, transformation, loading, and storage processes.
• Partner with stakeholders to understand data needs and translate them into actionable insights.
Qualifications:
• Intermediate to advanced skills in a general programming language, including object-oriented programming.
• Experience working with third-party APIs to build data pipelines.
• Intermediate to advanced SQL skills, including complex queries.
• Experience with data orchestration tools.
• Working knowledge of cloud data warehouses and basic cloud service knowledge.
Core Technologies:
• Python | SQL | dbt | Dagster | Snowflake | AWS | GitHub
Contact Authorization:
By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy here https://www.mitchellmartin.com/privacy-policy
Benefits:
Learn more about our benefits offerings here https://www.mitchellmartin.com/careers/benefits-perks
Onboarding Expectations:
Learn more about our Onboarding Process here https://youtu.be/rjV_NFYjyY4
EEO Statement:
Learn more about our EEO policy here https://www.mitchellmartin.com/eoe-statement
#LI-AG3
Numbers & Facts
| Location | New York, NY |
| Industry | Staffing/Employment Agencies |
| Salary | $90,000–$115,000 Per Year |
| Company Size | 100 to 499 employees |
| Year Founded | 1984 |
| Website | https://www.mitchellmartin.com |
About Company
OUR FOCUS IS GROWTH
It’s not just about filling job openings. It’s about enabling growth and inspiring success. That’s what we do.
Mitchell Martin is one of the nation’s largest staffing companies, with offices throughout the US as well as in India and the Philippines. We help drive success for both people and companies by helping them achieve positive growth. We do this by building strong relationships and developing a deep understanding of the people we work with, in order to facilitate the best matches for both sides of the equation.